Sun Zhong-fu

969 total citations · 1 hit paper
21 papers, 711 citations indexed

About

Sun Zhong-fu is a scholar working on Plant Science, Control and Systems Engineering and Atmospheric Science. According to data from OpenAlex, Sun Zhong-fu has authored 21 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Control and Systems Engineering and 6 papers in Atmospheric Science. Recurrent topics in Sun Zhong-fu's work include Wireless Sensor Networks and IoT (5 papers), Remote Sensing and Land Use (5 papers) and Smart Agriculture and AI (5 papers). Sun Zhong-fu is often cited by papers focused on Wireless Sensor Networks and IoT (5 papers), Remote Sensing and Land Use (5 papers) and Smart Agriculture and AI (5 papers). Sun Zhong-fu collaborates with scholars based in China and Hungary. Sun Zhong-fu's co-authors include Keming Du, Feixiang Zheng, Juncheng Ma, Lingxian Zhang, Zhihong Gong, Yunqiang Chen, Yunxia Li, Fei Lu, Peiqiang Hou and Xiaoke Wang and has published in prestigious journals such as Environmental Pollution, Computers and Electronics in Agriculture and European Journal of Agronomy.

In The Last Decade

Sun Zhong-fu

21 papers receiving 676 citations

Hit Papers

A recognition method for cucumber diseases using leaf sym... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
    2018 389 citations Juncheng Ma, Keming Du et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sun Zhong-fu China 9 608 227 159 42 37 21 711
Keming Du China 10 669 1.1× 270 1.2× 188 1.2× 50 1.2× 39 1.1× 15 772
Shanwen Zhang China 10 615 1.0× 268 1.2× 120 0.8× 21 0.5× 32 0.9× 18 791
Pascal Welke Germany 5 324 0.5× 224 1.0× 287 1.8× 55 1.3× 27 0.7× 16 542
Muhammad Hammad Saleem New Zealand 8 1.0k 1.7× 341 1.5× 208 1.3× 36 0.9× 20 0.5× 13 1.2k
Wenzhuo Zhang China 12 573 0.9× 252 1.1× 77 0.5× 41 1.0× 33 0.9× 21 758
Mónica G. Larese Argentina 6 664 1.1× 251 1.1× 192 1.2× 42 1.0× 36 1.0× 12 808
V. K. Singh India 10 1.1k 1.8× 446 2.0× 186 1.2× 24 0.6× 20 0.5× 43 1.2k
Koushik Nagasubramanian United States 8 540 0.9× 225 1.0× 209 1.3× 31 0.7× 31 0.8× 10 674

Countries citing papers authored by Sun Zhong-fu

Since Specialization
Citations

This map shows the geographic impact of Sun Zhong-fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sun Zhong-fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Zhong-fu more than expected).

Fields of papers citing papers by Sun Zhong-fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Zhong-fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sun Zhong-fu. The network helps show where Sun Zhong-fu may publish in the future.

Co-authorship network of co-authors of Sun Zhong-fu

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Zhong-fu. A scholar is included among the top collaborators of Sun Zhong-fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sun Zhong-fu. Sun Zhong-fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Juncheng, Keming Du, Feixiang Zheng, et al.. (2018). A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network. Computers and Electronics in Agriculture. 154. 18–24. 389 indexed citations breakdown →
2.
Ma, Juncheng, Yunxia Li, Yunqiang Chen, et al.. (2018). Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network. European Journal of Agronomy. 103. 117–129. 78 indexed citations
3.
Ma, Juncheng, Keming Du, Feixiang Zheng, Lingxian Zhang, & Sun Zhong-fu. (2018). A segmentation method for processing greenhouse vegetable foliar disease symptom images. Information Processing in Agriculture. 6(2). 216–223. 21 indexed citations
4.
Du, Keming, et al.. (2017). <i>MONITORING SYSTEM FOR WHEAT METEOROLOGICAL DISASTERS USING WIRELESS SENSOR NETWORKS</i>. 2017 Spokane, Washington July 16 - July 19, 2017. 5 indexed citations
5.
Ma, Juncheng, et al.. (2017). A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing. Computers and Electronics in Agriculture. 142. 110–117. 100 indexed citations
6.
Du, Keming, et al.. (2016). Preliminary research on diagnosis system design of wheat diseases and pests based on the Internet of Things.. Zhongguo nongye ke-ji daobao. 18(2). 86–94. 1 indexed citations
7.
Zheng, Feixiang, Xiaoke Wang, Weiwei Zhang, et al.. (2013). Effects of elevated O3 exposure on nutrient elements and quality of winter wheat and rice grain in Yangtze River Delta, China. Environmental Pollution. 179. 19–26. 37 indexed citations
8.
Zhong-fu, Sun, et al.. (2013). Perspectives of research and application of big data on smart agriculture.. Zhongguo nongye ke-ji daobao. 15(6). 63–71. 23 indexed citations
9.
Yin, Shouyi, et al.. (2013). Design of wireless multi-media sensor network for precision agriculture. China Communications. 10(2). 71–88. 17 indexed citations
10.
Zhao, Chunjiang, et al.. (2010). Fast method of egg image edge detecting based on dichotomy. Nongye gongcheng xuebao. 2010(1). 238–242. 1 indexed citations
11.
Zhong-fu, Sun. (2010). Discussion on Scientificalness Problem of Accumulated Temperature and Its Unit. Zhongguo nongye qixiang. 3 indexed citations
12.
Yin, Shouyi, Sun Zhong-fu, Leibo Liu, & Shaojun Wei. (2010). CropNET: A Wireless Multimedia Sensor Network for Agricultural Monitoring. IEICE Transactions on Communications. E93-B(8). 2073–2076. 1 indexed citations
13.
Wang, Daolong, Hiroaki Yoshida, Xin Hu, et al.. (2010). Analysis on the Factors Affecting Frost Resistance for Winter Wheat. Europe PMC (PubMed Central). 1810–1814. 1 indexed citations
14.
Du, Keming, et al.. (2009). Design and application of ZigBee based telemonitoring system for greenhouse environment data acquisition. Nongye gongcheng xuebao. 25(7). 158–163. 14 indexed citations
15.
Zhong-fu, Sun. (2009). Design of Early Warning System for Low Temperature and Sparse Sunlight Disaster in Solar Greenhouse. Zhongguo nongye qixiang. 1 indexed citations
16.
Zhong-fu, Sun. (2007). GPRS and SMS Technique in Embedded Internet. Dianzi Ke-ji Daxue xuebao. 1 indexed citations
17.
18.
Zhong-fu, Sun, et al.. (2006). A Universal Web-Based Simulation System for Greenhouse Crops. 99. 185–187. 2 indexed citations
19.
Zhong-fu, Sun. (2005). Effect of humic acid (HA) compound fertilizer on the nutrient absorption and yield of grape. 1 indexed citations
20.
Lakatos, L., et al.. (2005). The Effect of Atmosperical Aridity on the Changes of Quantitative Parameters of Horticultural and Arable Crops. Acta Agraria Debreceniensis. 40–45. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Keming Du Breakdown of academic impact, for papers by Shanwen Zhang Breakdown of academic impact, for papers by Pascal Welke Breakdown of academic impact, for papers by Muhammad Hammad Saleem Breakdown of academic impact, for papers by Wenzhuo Zhang Breakdown of academic impact, for papers by Mónica G. Larese Breakdown of academic impact, for papers by V. K. Singh Breakdown of academic impact, for papers by Koushik Nagasubramanian
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